Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Data Integration
Marketing
Customer Relationship Management (CRM)
Quality Assurance
Marketing Automation
Snow Flake Schema
SQL
Job Details
Position: Marketing Technology (MarTech) Functional Analyst
Location: NYC, NY Remote
Job Type: Long Term Contract
Responsibilities:
- Support the design and documentation of audience segmentation logic by partnering with data teams to define key attributes and dependencies
- Run basic SQL queries in Snowflake to validate audience counts, troubleshoot data issues, and confirm targeting accuracy
- Build and configure modular email templates (Sculpt blocks) and reusable components to support dynamic personalization
- Translate business use cases into structured requirements and workflow documentation for activation
- Assist in building and maintaining journey templates and personalization frameworks for lifecycle programs in partnership with Brand teams (Welcome, Post Purchase, Reactivation, etc.)
- Document processes and contribute to playbooks that improve platform adoption
- Partner with IT and Data teams to validate integrations, triggers, data feeds, and maintain data hygiene
- Apply hands-on experience from prior marketing platform transitions to support process improvements and best practice documentation
Qualifications:
- Minimum 2-4 years of experience in marketing automation, Martech operations, or CRM execution
- Hands-on experience with Cordial required; Familiarity with other next-generation ESPs is a plus
- Strong understanding of segmentation logic, data integration, SQL-based audience building (Amperity experience a plus)
- Proven ability to support campaign execution, QA, and process documentation within a cross-functional marketing environment
- Detail-oriented, proactive, and comfortable learning new tools and processes quickly in a fast-paced environment
- Strong communication and collaboration skills; Able to translate marketing needs into actional steps with technical and data teams
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